Predicting slow relaxation timescales in open quantum systems

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Predicting slow relaxation timescales in open quantum systems. / Poulsen, Felipe; Hansen, Thorsten; Reuter, Matthew G.

I: Journal of Mathematical Chemistry, Bind 60, 2022, s. 1542–1554.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Poulsen, F, Hansen, T & Reuter, MG 2022, 'Predicting slow relaxation timescales in open quantum systems', Journal of Mathematical Chemistry, bind 60, s. 1542–1554. https://doi.org/10.1007/s10910-022-01367-2

APA

Poulsen, F., Hansen, T., & Reuter, M. G. (2022). Predicting slow relaxation timescales in open quantum systems. Journal of Mathematical Chemistry, 60, 1542–1554. https://doi.org/10.1007/s10910-022-01367-2

Vancouver

Poulsen F, Hansen T, Reuter MG. Predicting slow relaxation timescales in open quantum systems. Journal of Mathematical Chemistry. 2022;60:1542–1554. https://doi.org/10.1007/s10910-022-01367-2

Author

Poulsen, Felipe ; Hansen, Thorsten ; Reuter, Matthew G. / Predicting slow relaxation timescales in open quantum systems. I: Journal of Mathematical Chemistry. 2022 ; Bind 60. s. 1542–1554.

Bibtex

@article{489ecbfd70664317975d1a48d2a558ac,
title = "Predicting slow relaxation timescales in open quantum systems",
abstract = "Molecules in open systems may be modeled using so-called reduced descriptions that keep focus on the molecule while including the effects of the environment. Mathematically, the matrices governing the Markovian equations of motion for the reduced density matrix, such as the Lindblad and Redfield equations, belong to the family of non-normal matrices. Tools for predicting the behavior of normal matrices (e.g., eigenvalue decompositions) are inadequate for describing the qualitative dynamics of systems governed by non-normal matrices. For example, such a system may relax to equilibrium on timescales much longer than expected from the eigenvalues. In this paper we contrast normal and non-normal matrices, expose mathematical tools for analyzing non-normal matrices, and apply these tools to a representative example system. We show how these tools may be used to predict dissipation timescales at both intermediate and asymptotic times, and we compare these tools to the conventional eigenvalue analyses. Interactions between the molecule and the environment, while generally resulting in dissipation on long timescales, can directly induce transient or even amplified behavior on short and intermediate timescales.",
keywords = "Open systems, Relaxation, Pseudospectra, TIME-DEPENDENT TRANSPORT, MATRIX, REAL",
author = "Felipe Poulsen and Thorsten Hansen and Reuter, {Matthew G.}",
year = "2022",
doi = "10.1007/s10910-022-01367-2",
language = "English",
volume = "60",
pages = "1542–1554",
journal = "Journal of Mathematical Chemistry",
issn = "0259-9791",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Predicting slow relaxation timescales in open quantum systems

AU - Poulsen, Felipe

AU - Hansen, Thorsten

AU - Reuter, Matthew G.

PY - 2022

Y1 - 2022

N2 - Molecules in open systems may be modeled using so-called reduced descriptions that keep focus on the molecule while including the effects of the environment. Mathematically, the matrices governing the Markovian equations of motion for the reduced density matrix, such as the Lindblad and Redfield equations, belong to the family of non-normal matrices. Tools for predicting the behavior of normal matrices (e.g., eigenvalue decompositions) are inadequate for describing the qualitative dynamics of systems governed by non-normal matrices. For example, such a system may relax to equilibrium on timescales much longer than expected from the eigenvalues. In this paper we contrast normal and non-normal matrices, expose mathematical tools for analyzing non-normal matrices, and apply these tools to a representative example system. We show how these tools may be used to predict dissipation timescales at both intermediate and asymptotic times, and we compare these tools to the conventional eigenvalue analyses. Interactions between the molecule and the environment, while generally resulting in dissipation on long timescales, can directly induce transient or even amplified behavior on short and intermediate timescales.

AB - Molecules in open systems may be modeled using so-called reduced descriptions that keep focus on the molecule while including the effects of the environment. Mathematically, the matrices governing the Markovian equations of motion for the reduced density matrix, such as the Lindblad and Redfield equations, belong to the family of non-normal matrices. Tools for predicting the behavior of normal matrices (e.g., eigenvalue decompositions) are inadequate for describing the qualitative dynamics of systems governed by non-normal matrices. For example, such a system may relax to equilibrium on timescales much longer than expected from the eigenvalues. In this paper we contrast normal and non-normal matrices, expose mathematical tools for analyzing non-normal matrices, and apply these tools to a representative example system. We show how these tools may be used to predict dissipation timescales at both intermediate and asymptotic times, and we compare these tools to the conventional eigenvalue analyses. Interactions between the molecule and the environment, while generally resulting in dissipation on long timescales, can directly induce transient or even amplified behavior on short and intermediate timescales.

KW - Open systems

KW - Relaxation

KW - Pseudospectra

KW - TIME-DEPENDENT TRANSPORT

KW - MATRIX

KW - REAL

U2 - 10.1007/s10910-022-01367-2

DO - 10.1007/s10910-022-01367-2

M3 - Journal article

VL - 60

SP - 1542

EP - 1554

JO - Journal of Mathematical Chemistry

JF - Journal of Mathematical Chemistry

SN - 0259-9791

ER -

ID: 312483836